Across the AI industry, users are becoming more conscious of just how expensive their deployments can be —and feeling a new urgency to cut costs. But while open source models offer significantly lower per-token costs, it can be difficult to find the right model for a given job.
Together with the new model, the company also released significant upgrades to its standard agentic harness. Both features will be available to Writer clients starting Thursday.
“I think the enterprise is absolutely sick of chasing the next benchmark,” CEO May Habib told TechCrunch. “They want flattening cost, and it seems like nobody can deliver that.”
The new approach puts particular emphasis on complex, multi-step tasks, executed faster and with fewer tokens. And Writer sees harness optimization as a crucial lever toward making that happen.
“The harness is the one component whose efficiency multiplies across every model an organization runs—present and future,” the researchers wrote.
For Writer’s clients, the experience is still model-agnostic: Palmyra X6 will sit alongside other Writer models or outside models imported through Azure or Amazon Bedrock. But Habib also sees the push to cut costs as driving a broader distrust toward major AI labs, which have a financial incentive to drive up token use.
“The cost explosion here is just unprecedented for customers, and so is the degree to which CIOs are giving up on the labs,” Habib told TechCrunch, adding that the AI labs “don’t deeply understand right how to help an enterprise get benefit from AI.”